nitin1k's repositories
CIF
Composite Indicators Framework for Business Cycle Analysis
courses
fast.ai Courses
D4M.py
A D4M module for Python. D4M was developed in MATLAB by Dr Jeremy Kepner
Empirical_Macroeconomics
This is a 12 classes course in Empirical Macroeconomics methods to identify shocks
example-app-langchain-rag
Streamlit app demonstrating using LangChain and retrieval augmented generation with a vectorstore and hybrid search
FactorModels
A python implementation of McCracken & Ng (2017) Matlab code which is used to estimate factor models and make predictions on the basis of FRED-MD (monthly) and FRED-QD (quarterly) macroeconomic databases.
MITx_6.86x
MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
ml-tutorial
Introduction to ML packages for the 6.86x course
options-pricing
Python code for pricing European and American options with examples for individual stock and index options denominated in USD and Euro. Jupyter notebooks for pricing options using free publicly available datasets.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Stockformer
StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks
US_Economic_Data_Analysis
Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing. All analysis is based on data provided by FRED.